How to use from
llama.cppInstall from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf obaes/lora_model:# Run inference directly in the terminal:
llama-cli -hf obaes/lora_model:Use pre-built binary
# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf obaes/lora_model:# Run inference directly in the terminal:
./llama-cli -hf obaes/lora_model:Build from source code
git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf obaes/lora_model:# Run inference directly in the terminal:
./build/bin/llama-cli -hf obaes/lora_model:Use Docker
docker model run hf.co/obaes/lora_model:Quick Links
Uploaded model
- Developed by: obaes
- License: apache-2.0
- Finetuned from model : unsloth/phi-3.5-mini-instruct-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
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Install from brew
# Start a local OpenAI-compatible server with a web UI: llama-server -hf obaes/lora_model:# Run inference directly in the terminal: llama-cli -hf obaes/lora_model: